Fraud Prevention Analytics

/Fraud Prevention Analytics

Fraud Detection and Fraud Prevention Analytics

By | 2017-03-22T17:38:16+00:00 March 22nd, 2017|Categories: Data Science, Fraud Prevention Analytics, Machine Learning|

The purpose of the study was to 1) iterate through fraud pattern changes, 2) detect anomalies using strong data profiling, and 3) study fraud indicators, derived from the current transaction attributes as well as cardholder’s historical activities. We built models using algorithms and machine learning. We provided more predictive capabilities that could identify and mitigate fraud. [...]

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This Sliding Bar can be switched on or off in theme options, and can take any widget you throw at it or even fill it with your custom HTML Code. Its perfect for grabbing the attention of your viewers. Choose between 1, 2, 3 or 4 columns, set the background color, widget divider color, activate transparency, a top border or fully disable it on desktop and mobile.